Intern - Gen AI Research Engineer (Hiring Now!)

Summary

Cotiviti is a healthcare technology company seeking a Generative AI Research Engineer Intern to research emerging healthcare informatics technologies, with a focus on generative AI and artificial general intelligence. The role supports AI model and system development, technology research, governance, cross-functional collaboration, vendor evaluations, and academic engagement.

Responsibilities

• Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI
• Assists in developing and improving LLMs and ML tools used across the organization
• Assists in establishing and maintaining an Artificial Intelligence Governance Program
• Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management
• Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects
• Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends
• Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions
• Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs
• Supports vendor evaluations and contributes to collaborations with vendors
• Assists as a liaison between academic institutions, professional organizations, and research groups as needed
• Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills
• Complete all responsibilities and goals outlined in the internship program
• Complete all special projects and other duties as assigned
• Must be able to perform duties with or without reasonable accommodation
• Communicating with others to exchange information
• Assessing the accuracy, neatness, and thoroughness of the work assigned
• Remaining in a stationary position, often standing or sitting for prolonged periods
• Repeating motions that may include the wrists, hands, and/or fingers
• Must be able to provide a dedicated, secure work area
• Must be able to provide high-speed internet access/connectivity and office setup and maintenance
• No adverse environmental conditions are expected

Skills

• Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science)
• Demonstrated interest or experience in AI, healthcare technology, or informatics research
• Strong foundational knowledge in generative AI model development, architectures, and vector databases
• Hands-on experience with working with Machine Learning and Deep Learning models
• Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions
• Ability to work collaboratively and communicate effectively with cross-functional teams
• Communicating with others to exchange information
• Assessing the accuracy, neatness, and thoroughness of the work assigned
• Remaining in a stationary position, often standing or sitting for prolonged periods
• Repeating motions that may include the wrists, hands, and/or fingers
• Must be able to provide a dedicated, secure work area
• Must be able to provide high-speed internet access/connectivity and office setup and maintenance
• Preference of a PhD
• Experience with LLM/RAG models and LLM fine-tuning is a plus
• Experience with vector embeddings and databases is a plus

Qualifications

Must Haves

• Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science)
• Demonstrated interest or experience in AI, healthcare technology, or informatics research
• Strong foundational knowledge in generative AI model development, architectures, and vector databases
• Hands-on experience with working with Machine Learning and Deep Learning models
• Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions
• Ability to work collaboratively and communicate effectively with cross-functional teams
• Communicating with others to exchange information
• Assessing the accuracy, neatness, and thoroughness of the work assigned
• Remaining in a stationary position, often standing or sitting for prolonged periods
• Repeating motions that may include the wrists, hands, and/or fingers
• Must be able to provide a dedicated, secure work area
• Must be able to provide high-speed internet access/connectivity and office setup and maintenance

Nice to Haves

• preference of a PhD
• Experience with LLM/RAG models and LLM fine-tuning is a plus
• Experience with vector embeddings and databases is a plus

Benefits

• Internship hours and length of assignment may be selected by the intern from 20–40 hours per week, with a minimum of one semester up to one year.
• Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.